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Using structure from motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery

机译:使用运动结构从历史地面和倾斜航空影像创建冰川DEM和正影像

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摘要

Increased resolution and availability of remote sensing products, and advancements in small-scale aerial drone systems, allows observations of glacial changes at unprecedented levels of detail. Software developments, such as Structure from Motion (SfM), now allow users an easy and efficient method to generate 3D models and orthoimages from aerial or terrestrial datasets. While these advancements show promise for current and future glacier monitoring, many regions still suffer a lack of observations from earlier time periods. We report on the use of SfM to extract spatial information from various historic imagery sources. We focus on three geographic regions, the European Alps, High-Arctic Norway and the Nepal Himalaya. We used terrestrial field photos from 1896, high oblique aerial photos from 1936 and aerial handheld photos from 1978 to generate DEMs and orthophotos of the Rhone glacier, Brøggerhalvøya and the lower Khumbu glacier, respectively. Our analysis shows that applying SfM to historic imagery can generate high quality models using only ground control points. Limited camera/orientation information was largely reproduced using self-calibrated model data. Using these data, we calculated mean ground sampling distances across each site which demonstrates the high potential resolution of resulting models. Vertical errors for our models are ±5.4 m, ±5.2 m and ±3.3 m. Differencing shows similar patterns of thinning at lower Rhone (European Alps) and Brøggerhalvøya (Norway) glaciers, which have mean thinning rates of 0.31 m a (1896-2010) to 0.86 m a (1936-2010) respectively. On these clean ice glaciers thinning is highest in the terminus region and decreasing upglacier. In contrast to these glaciers, uneven topography, exposed ice-cliffs and debris cover on the Khumbu glacier create a highly variable spatial distribution of thinning. The mean thinning rate for the Khumbu study area was found to be 0.54±0.9 m a (1978-2015).
机译:遥感产品的分辨率和可用性的提高,以及小型空中无人机系统的进步,使人们能够以前所未有的细节水平观察冰川变化。现在,软件开发(例如来自运动的结构(SfM))使用户可以轻松有效地从空中或地面数据集中生成3D模型和正射影像。尽管这些进展显示出对当前和未来冰川监测的希望,但许多地区仍缺乏早期时期的观测资料。我们报告了使用SfM从各种历史图像源中提取空间信息的情况。我们专注于三个地理区域,即欧洲阿尔卑斯山,挪威高北极地区和尼泊尔喜马拉雅山。我们分别使用1896年的地面照片,1936年的高斜度航空照片和1978年的航空手持照片分别生成了罗纳河冰川,Brøggerhalvøya和下昆布冰川的DEM和正射照片。我们的分析表明,将SfM应用于历史图像可以仅使用地面控制点即可生成高质量的模型。有限的相机/方位信息在很大程度上使用了自校准模型数据进行了复制。使用这些数据,我们计算了每个站点的平均地面采样距离,这证明了所得模型的高潜在分辨率。我们模型的垂直误差为±5.4 m,±5.2 m和±3.3 m。差异显示在较低的罗纳河(欧洲阿尔卑斯山)和Brøggerhalvøya(挪威)冰川上相似的稀疏模式,平均稀疏率分别为0.31 m a(1896-2010)至0.86 m a(1936-2010)。在这些清洁的冰川上,终点地区的变薄程度最高,而冰川则减少。与这些冰川相反,昆布冰川的地形不均匀,裸露的冰崖和碎屑覆盖物会造成高度可变的稀疏空间分布。昆布研究区的平均稀疏率被发现为0.54±0.9 m a(1978-2015)。

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